NDLI: Preventing insider malware threats using program analysis techniques

Content Provider	IEEE Xplore Digital Library
Author	Agrawal, H. Alberi, J. Bahler, L. Conner, W. Micallef, J. Virodov, A. Snyder, S.R.
Copyright Year	2010
Description	Author affiliation: Telcordia Technologies, Piscataway, NJ (Agrawal, H.; Alberi, J.; Bahler, L.; Conner, W.; Micallef, J.; Virodov, A.) \|\| US Army CERDEC, Information Assurance Division, Fort Monmouth, NJ (Snyder, S.R.)
Abstract	Current malware detection tools focus largely on malicious code that is injected into target programs by outsiders by exploiting inadvertent vulnerabilities such as failing to guard against a buffer overflow or failure to properly validate a user input in those programs. Hardly any attention is paid to threats arising from software developers, who, with their intimate knowledge of the inner workings of those programs, can easily sneak logic bombs, Trojan horses, and backdoors in those programs. Traditional software validation techniques such as testing based on user requirements are unlikely to detect such malware, because normal use cases will not trigger them and thus will fail to expose them. The state-of-the-art in preventing such malware involves manual inspection of the target program, which is a highly tedious, time consuming, and error prone process. We propose a dynamic, test driven approach that automatically steers program analysts towards examining and discovering such insider malware threats. It uses program analysis techniques to identify program parts whose execution automatically guarantees execution of a large number of previously unexplored parts of the program. It effectively leads analysts into creating test cases which may trigger, in a protected test environment, any malware code hidden in that application as early as possible, so it can be removed from the application before it is deployed in the field. We also present a tool that helps translate this approach into practice.
Starting Page	936
Ending Page	941
File Size	379994
Page Count	6
File Format	PDF
ISBN	9781424481781
ISSN	21557586
e-ISBN	9781424481804
DOI	10.1109/MILCOM.2010.5679584
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weapons Testing Programming Trojan horses Software Color backdoor malicious code detection insider malware threats life cycle attacks Trojan horse logic bomb time bomb
Content Type	Text
Resource Type	Article

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